Advanced Pattern Recognition - EL858

Location Term Level Credits (ECTS) Current Convenor 2019-20
Canterbury
(version 6)
Spring
View Timetable
7 15 (7.5) DR K Sirlantzis

Pre-requisites

None

Restrictions

None

2019-20

Overview

Advanced Techniques for Feature Classification and Multi-Modal Systems

Analysis of Bayesian Classification; Feature selection strategies using genetic algorithms and Principal Component Analysis; Multiple classifier combination strategies. Intelligent and dynamically adaptable classification techniques; Multi-source biometric systems and score normalisation techniques.

Details

This module appears in:


Contact hours

Total contact hours: 39
Private study hours: 111
Total study hours: 150

Method of assessment

65% Exam
35% Coursework

Indicative reading

See the library reading list for this module (Canterbury)

Learning outcomes

1 Design and implement biometric systems.
2 Critically appraise alternative applications of biometrics.
3 Understand, in detail, the operation of advanced pattern classification techniques involving multi-modal systems.

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